DeepIntrinsicRelighting/test_qualitative.txt at main · CVC-Color/DeepIntrinsicRelighting · GitHub

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------------ Options -------------
anno: data/anno_RSR/AnyLighttest_pairs_qualitative.txt
aspect_ratio: 1.0
batch_size: 1
checkpoints_dir: ./checkpoints/
constrain_intrinsic: False
continue_train: True
crop_size: 256
cross_model: False
dataroot: /ghome/yyang/dataset/ISR/
dataroot_RSR: /ghome/yyang/dataset/RSR_256/
dataroot_multilum: /ghome/yyang/dataset/Multi_Illumination_small/train/
dataroot_vidit: /ghome/yyang/dataset/VIDIT_full/
dataset_mode: relighting_single_image_rsr
display_id: -1
display_winsize: 256
epoch: save_best
eval: True
gpu_ids: [0]
img_size: (256, 256)
infinite_range_sha: True
init_gain: 0.02
init_type: normal
input_nc: 3
introduce_ref_G_2: False
isTrain: False
light_prediction: True
light_type: pan_tilt_color
load_iter: 0
load_size: 256
max_dataset_size: inf
metric_list: ['Relighted', 'light_position_color']
model_modify_layer: []
model_name: relighting_two_stage
modify_layer: False
multiple_replace_image: True
name: exp_rsr_ours_f,
netG: resnet9_nonlocal_InfRange
net_intrinsic: resnet9_InfRange
ngf: 64
no_dropout: False
no_flip: True
norm: batch
normalization_type: [0, 1]
num_test: 130
num_threads: 1
output_nc: 3
parallel_method: DataParallel
phase: test_rsr
pre_read_data: False
preprocess: none
results_dir: ./results/
serial_batches: True
server_root: /ghome/yyang/dataset/
show_gt_intrinsic: False
special_test: False
two_stage: True
use_amp: False
use_discriminator: False
verbose: False
-------------- End ----------------
dataset [RelightingDatasetSingleImageRSR] was created (shuffle=False, drop_last=False)
initialize network with normal
------------ Options -------------
anno: data/anno_VIDIT/any2any/AnyLight_test_pairs_qualitative.txt
aspect_ratio: 1.0
batch_size: 1
checkpoints_dir: ./checkpoints/
constrain_intrinsic: False
continue_train: True
crop_size: 256
cross_model: False
dataroot: /ghome/yyang/dataset/ISR/
dataroot_RSR: /ghome/yyang/dataset/RSR_256/
dataroot_multilum: /ghome/yyang/dataset/Multi_Illumination_small/train/
dataroot_vidit: /ghome/yyang/dataset/VIDIT_full/
dataset_mode: relighting_single_image_vidit
display_id: -1
display_winsize: 256
epoch: save_best
eval: True
gpu_ids: [0]
img_size: (256, 256)
infinite_range_sha: True
init_gain: 0.02
init_type: normal
input_nc: 3
introduce_ref_G_2: False
isTrain: False
light_prediction: True
light_type: pan_tilt_color
load_iter: 0
load_size: 256
max_dataset_size: inf
metric_list: ['Relighted', 'light_position_color']
model_modify_layer: []
model_name: relighting_two_stage
modify_layer: False
multiple_replace_image: True
name: exp_vidit_ours_f,
netG: resnet9_nonlocal_InfRange
net_intrinsic: resnet9_InfRange
ngf: 64
no_dropout: False
no_flip: True
norm: batch
normalization_type: [0, 1]
num_test: 130
num_threads: 1
output_nc: 3
parallel_method: DataParallel
phase: test_vidit
pre_read_data: False
preprocess: resize
results_dir: ./results/
serial_batches: True
server_root: /ghome/yyang/dataset/
show_gt_intrinsic: False
special_test: False
two_stage: True
use_amp: False
use_discriminator: False
verbose: False
-------------- End ----------------
dataset [RelightingDatasetSingleImageVidit] was created (shuffle=False, drop_last=False)
initialize network with normal
------------ Options -------------
anno: data/multi_illumination/test_qualitative.txt
aspect_ratio: 1.0
batch_size: 1
checkpoints_dir: ./checkpoints/
constrain_intrinsic: False
continue_train: True
crop_size: 256
cross_model: False
dataroot: /ghome/yyang/dataset/ISR/
dataroot_RSR: /ghome/yyang/dataset/RSR_256/
dataroot_multilum: /ghome/yyang/dataset/Multi_Illumination_small/test/
dataroot_vidit: /ghome/yyang/dataset/VIDIT_full/
dataset_mode: relighting_single_image_multilum
display_id: -1
display_winsize: 256
epoch: save_best
eval: True
gpu_ids: [0]
img_size: (256, 256)
infinite_range_sha: True
init_gain: 0.02
init_type: normal
input_nc: 3
introduce_ref_G_2: False
isTrain: False
light_prediction: False
light_type: probes
load_iter: 0
load_size: 256
max_dataset_size: inf
metric_list: ['Relighted']
model_modify_layer: []
model_name: relighting_two_stage
modify_layer: False
multiple_replace_image: True
name: exp_multilum_ours_f
netG: resnet9_nonlocal_InfRange
net_intrinsic: resnet9_InfRange
ngf: 64
no_dropout: False
no_flip: True
norm: batch
normalization_type: [0, 1]
num_test: 130
num_threads: 1
output_nc: 3
parallel_method: DataParallel
phase: test_multilum
pre_read_data: False
preprocess: none
results_dir: ./results/
serial_batches: True
server_root: /ghome/yyang/dataset/
show_gt_intrinsic: False
special_test: False
two_stage: True
use_amp: False
use_discriminator: False
verbose: False
-------------- End ----------------
dataset [RelightingDatasetSingleImageMultilum] was created (shuffle=False, drop_last=False)
initialize network with normal